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Assistant Professor in Computational Neurolinguistics/Psycholinguistics

Los Angeles, CA • On-site

University of South Carolina
Traveler Accommodation • 201 - 500 employees
Learn more about University of South Carolinaexternal

Full-time

Medical, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Posting Summary
Logo Posting Number FAC00134PO25 Advertised Title Assistant Professor in Computational Neurolinguistics/Psycholinguistics Campus Columbia College/Division College of Arts and Sciences Department CAS Psychology Advertised Salary Range We offer a competitive salary and benefits package. Location of Vacancy Columbia, SC Part/Full Time Full Time Hours per Week 40 Position Category Full-time Equivalent (FTE) Basis 9 months Work County Richland Tenure Information Tenure-Track/Tenured Job Search Category Faculty
About USC
About University of South Carolina
From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond.
Veterans' Preference Statement
Benefits for FTE Positions
The University of South Carolina (USC), through the State of SC and Public Employee Benefit Authority (PEBA), offers state employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu.
Position Description
Advertised Job Summary
The Department of Psychology and the Linguistics Program in the McCausland College of Arts and Sciences at the University of South Carolina (USC) invite applications for a tenure-track Assistant Professor position in Computational Neuro/Psycholinguistics at the Columbia campus. This position is a joint hire by The Linguistics Program and The Department of Psychology, which is the home department for tenure. This interdisciplinary position is part of a university-wide cluster hire in Data Sciences, Artificial Intelligence (AI), and Cyber with the goal to support cutting-edge research at the intersection of brain and language.
This new hire will join a vibrant interdisciplinary community with opportunities for collaboration across departments and colleges, including Computer Science and Engineering (CEC), the School of Information and Communications (CIC), and USC's robust neuroscience network. Key research centers include the Institute for Mind and Brain, the Center for the Study of Aphasia Recovery, the AI Institute of South Carolina, and the McCausland Center for Brain Imaging, which houses a 3T Prisma MRI scanner. Faculty also have access to a growing health science campus and the new Rural Brain Health Network hub equipped with advanced neuroimaging technologies, including a 7T TerraX MRI. A rich array of additional resources, including access to high-performance computing clusters, as well as facilities for EEG, TMS, HD-tDCS, fNIRS, eye tracking, and lesion-deficit mapping in stroke survivors, is available.
The successful candidate will be expected to develop an externally funded research program, teach undergraduate and graduate courses, and contribute to the university's mission of research excellence.
Required Education and Experience
  • A Ph.D. is required by the start date of August 16, 2026.

Preferred Qualifications
  • We seek a computational neurolinguist or psycholinguist whose research bridges linguistics, neuroscience, and next-generation AI. 
  • Ideal candidates will use modern computational techniques in combination with neuroimaging and/or behavioral methods to investigate language learning, processing, and representation in the human brain, with possible applications to brain health, aging, and brain-inspired models of natural language understanding. 
  • The candidate's work should leverage and extend advances in natural language processing and brain-language modeling.
  •  The candidate must demonstrate excellence in research, as evidenced by a strong publication record and the potential to secure external funding, as well as excellence in teaching and mentorship.
Posting Detail Information
Desired Start Date 08/16/2026 Job Open Date 08/18/2025 Job Close Date Open Until Filled Yes Special Instructions to Applicant
Applications should include: 1) Cover letter 2) Curriculum vitae 3) Research statement 4) Teaching statement 5) Contact information for three references.
Applicants should apply online at USCJobs at https://uscjobs.sc.edu. Review of applications will begin October 15, 2025, and continue until the position is filled. For inquiries, contact Dr. Jiang Liu at jiangliu@mailbox.sc.edu.
Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This position is open until filled. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.
 

Quicklink for Posting https://uscjobs.sc.edu/postings/193399 EEO Statement
The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.

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